{"_id": {"$oid": "6abd11422c9d37fedb8af8c2"}, "test_id": "T0912", "benchmark": "blacklist_cards", "date": "2026-04-21", "tags": {"document-type": ["index-card"], "writing": ["typed", "handwritten"], "century": [20], "language": ["de"], "entry-type": ["company"], "task": ["information-extraction"]}, "contributors": ["lea_kasper", "sorin_marti"], "hidden": false, "config": {"provider": "openrouter", "model": "qwen/qwen3.5-122b-a10b", "dataclass": "Card", "temperature": 0.5, "role_description": "You are a Historian", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.\n\n- \"company\": The primary company name, usually in the top-left. Exclude the location.\n- \"location\": The city or town, often following the company name.\n- \"b_id\": The identifier code, usually in the top-right, starting with \"B.\".\n- \"date\": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.\n- \"information\": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\\\n.\n\nHere is the required JSON format:\n{\n  \"company\": {\"transcription\": \"\"},\n  \"location\": {\"transcription\": \"\"},\n  \"b_id\": {\"transcription\": \"\"},\n  \"date\": \"\",\n  \"information\": [\n    {\"transcription\": \"\"}\n  ]\n}\n\nIf you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.", "results": {"text": "{\"company\":{\"transcription\":\"Abegg & Cie.\"},\"location\":{\"transcription\":\"Z\u00fcrich\"},\"b_id\":{\"transcription\":\"B.51.322.GB.266\"},\"date\":\"\",\"information\":null}", "model": "qwen/qwen3.5-122b-a10b-20260224", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 2949, "output_tokens": 90, "total_tokens": 3039, "input_cost_usd": 0.00076674, "output_cost_usd": 0.00018720000000000002, "estimated_cost_usd": 0.00095394}, "duration": 4.650448799133301, "timestamp": "2026-04-21T13:42:03.135947", "parsed": {"company": {"transcription": "Abegg & Cie."}, "location": {"transcription": "Z\u00fcrich"}, "b_id": {"transcription": "B.51.322.GB.266"}, "date": "", "information": null}, "conversation_id": "796884f6-f607-4163-95fd-72d0d844d8ea", "score": {"fuzzy": 1.0}, "raw_response": "{\"id\":\"gen-1776771718-rgZ00Mahfc9V7mtqskdC\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"b_id\\\": {\\n    \\\"transcription\\\": \\\"B.51.322.GB.266\\\"\\n  },\\n  \\\"company\\\": {\\n    \\\"transcription\\\": \\\"Abegg & Cie.\\\"\\n  },\\n  \\\"date\\\": \\\"\\\",\\n  \\\"information\\\": null,\\n  \\\"location\\\": {\\n    \\\"transcription\\\": \\\"Z\u00fcrich\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"company\":{\"transcription\":\"Abegg & Cie.\"},\"location\":{\"transcription\":\"Z\u00fcrich\"},\"b_id\":{\"transcription\":\"B.51.322.GB.266\"},\"date\":\"\",\"information\":null},\"reasoning\":null},\"native_finish_reason\":\"stop\"}],\"created\":1776771718,\"model\":\"qwen/qwen3.5-122b-a10b-20260224\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":90,\"prompt_tokens\":2949,\"total_tokens\":3039,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":0,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.0011007,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.0011007,\"upstream_inference_prompt_cost\":0.0008847,\"upstream_inference_completions_cost\":0.000216}},\"provider\":\"AtlasCloud\"}"}, "scoring": {"fuzzy": 0.9144663777303284, "cost_summary": {"total_input_tokens": 97699, "total_output_tokens": 5402, "total_tokens": 103101, "input_cost_usd": 0.02540174, "output_cost_usd": 0.011236160000000002, "total_cost_usd": 0.0366379}}, "pricing": {"bucket_date": "2026-04-21", "age_days": 0, "input_price_per_million": 0.26, "output_price_per_million": 2.08}, "timing": {"total_response_s": 152.08, "mean_response_s": 4.61, "slowest_response_s": 7.68, "inputs_timed": 33, "inputs_stored": 33, "span_s": 7.43}, "normalized_score": 91.44663777303283}